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Actor-Attention-Critic for Multi-Agent Reinforcement Learning

Actor-Attention-Critic for Multi-Agent Reinforcement Learning

5 October 2018
Shariq Iqbal
Fei Sha
ArXivPDFHTML

Papers citing "Actor-Attention-Critic for Multi-Agent Reinforcement Learning"

50 / 281 papers shown
Title
Hierarchically Structured Scheduling and Execution of Tasks in a
  Multi-Agent Environment
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
Diogo S. Carvalho
B. Sengupta
35
2
0
06 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
36
8
0
06 Mar 2022
Provably Efficient Convergence of Primal-Dual Actor-Critic with
  Nonlinear Function Approximation
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation
Jing Dong
Li Shen
Ying Xu
Baoxiang Wang
40
1
0
28 Feb 2022
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction
  Mechanism for Designing Safe Multi-Robot Systems
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems
Bowei He
Zhen Zhao
Wenhao Luo
R. Liu
24
4
0
24 Feb 2022
A Decentralized Communication Framework based on Dual-Level Recurrence
  for Multi-Agent Reinforcement Learning
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning
Jingchen Li
Haobin Shi
Kao-Shing Hwang
10
3
0
22 Feb 2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector
  Quantization
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Dianbo Liu
Alex Lamb
Xu Ji
Pascal Junior Tikeng Notsawo
Michael C. Mozer
Yoshua Bengio
Kenji Kawaguchi
19
14
0
02 Feb 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
46
29
0
17 Jan 2022
Agent-Temporal Attention for Reward Redistribution in Episodic
  Multi-Agent Reinforcement Learning
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
Baicen Xiao
Bhaskar Ramasubramanian
Radha Poovendran
22
4
0
12 Jan 2022
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based
  Robotics
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics
Swagat Kumar
Hayden Sampson
Ardhendu Behera
27
0
0
11 Jan 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley
Aurghya Maiti
Sourangshu Bhattacharya
Niloy Ganguly
40
1
0
05 Jan 2022
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
B. Freed
Aditya Kapoor
Ian Abraham
J. Schneider
Howie Choset
29
4
0
23 Dec 2021
Attention Based Communication and Control for Multi-UAV Path Planning
Attention Based Communication and Control for Multi-UAV Path Planning
Hamid Shiri
Hyowoon Seo
Jihong Park
M. Bennis
24
14
0
20 Dec 2021
Learning to Share in Multi-Agent Reinforcement Learning
Learning to Share in Multi-Agent Reinforcement Learning
Yuxuan Yi
G. Li
Yaowei Wang
Zongqing Lu
33
13
0
16 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication
  Pattern Recognition Module
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng
Wei Wei
Da-Cheng Juan
Min Sun
42
2
0
14 Dec 2021
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile
  Robots
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
Zicheng He
Lu Dong
Chunwei Song
Changyin Sun
48
25
0
13 Dec 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic
  Engineering
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Shan Sun
M. Kiran
Wei Ren
41
2
0
30 Nov 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement
  Learning with Actor Rectification
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
L. Pan
Longbo Huang
Tengyu Ma
Huazhe Xu
OffRL
OnRL
42
51
0
22 Nov 2021
Calculus of Consent via MARL: Legitimating the Collaborative Governance
  Supplying Public Goods
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
Yang Hu
Zhu Zhu
Sirui Song
Xue Liu
Yang Yu
17
0
0
20 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
26
33
0
10 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent
  Reinforcement Learning
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Zhaoxing Yang
Rong Ding
Haiming Jin
Yifei Wei
Haoyi You
Guiyun Fan
Xiaoying Gan
Xinbing Wang
49
4
0
10 Nov 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for
  Multiagent RL
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin
Qinghua Liu
Yuanhao Wang
Tiancheng Yu
OffRL
31
131
0
27 Oct 2021
Improved cooperation by balancing exploration and exploitation in
  intertemporal social dilemma tasks
Improved cooperation by balancing exploration and exploitation in intertemporal social dilemma tasks
Zhenbo Cheng
Xingguang Liu
Leilei Zhang
Hangcheng Meng
Qin Li
Gang Xiao
14
1
0
19 Oct 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement
  Learning
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning
Yuchen Xiao
Xueguang Lyu
Chris Amato
19
9
0
16 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
30
67
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
27
23
0
14 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Huazhong Yang
Yu Wang
Yi Wu
31
29
0
12 Oct 2021
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for
  Dynamic Crowded Environment
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan
Yuan Gao
Ming Zhao
Yong Yang
Fuqin Deng
Tin Lun Lam
40
2
0
02 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
46
25
0
01 Oct 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of
  Teammates
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
Jiahan Cao
Lei Yuan
Jianhao Wang
Shaowei Zhang
Chongjie Zhang
Yang Yu
De-Chuan Zhan
39
19
0
26 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially
  Observable Environments
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
Zhenhui Ye
Xiaohong Jiang
Guang-hua Song
Bowei Yang
33
1
0
05 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
29
7
0
30 Aug 2021
Temporal Induced Self-Play for Stochastic Bayesian Games
Temporal Induced Self-Play for Stochastic Bayesian Games
Weizhe Chen
Zihan Zhou
Yi Wu
Fei Fang
21
3
0
21 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
33
37
0
04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing
  Centralized Training
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
P. Sharma
Rolando Fernandez
Erin G. Zaroukian
M. Dorothy
Anjon Basak
Derrik E. Asher
15
40
0
29 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
31
6
0
07 Jul 2021
Collaborative Visual Navigation
Collaborative Visual Navigation
Haiyang Wang
Wenguan Wang
Xizhou Zhu
Jifeng Dai
Liwei Wang
EgoV
34
20
0
02 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in
  cooperative environments
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
Kai Liu
Yuyang Zhao
Gang Wang
Bei Peng
33
19
0
01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
39
89
0
29 Jun 2021
Policy Regularization via Noisy Advantage Values for Cooperative
  Multi-agent Actor-Critic methods
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods
Jian Hu
Siyue Hu
Shih-Wei Liao
25
13
0
27 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for
  Cooperative Multi-Agent Reinforcement Learning
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Yunpeng Bai
Guoliang Fan
16
11
0
22 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and
  Efficient Bimanual Manipulation
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
Minghao Zhang
Pingcheng Jian
Yi Wu
Huazhe Xu
Xiaolong Wang
21
9
0
10 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent
  Reinforcement Learning
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
Ming Zhou
Bo Liu
Hanjing Wang
Muning Wen
Runzhe Wu
Ying Wen
Yaodong Yang
Weinan Zhang
Jun Wang
OffRL
27
46
0
05 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
36
61
0
01 Jun 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang
Yuan Zhang
Yunjie Gu
Tae-Kyun Kim
OffRL
FAtt
22
19
0
31 May 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent
  Reinforcement Learning
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Zijian Gao
Kele Xu
Bo Ding
Huaimin Wang
Yiying Li
Hongda Jia
249
1
0
25 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
22
9
0
13 May 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed
  Cooperative-Competitive Environments
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Xiaolong Wei
Lifang Yang
Xianglin Huang
Gang Cao
Zhulin Tao
Zhengyang Du
Jing An
34
6
0
11 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise
  Rollouts
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
32
35
0
07 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
50
87
0
04 May 2021
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy
  Gradients
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
Bozhidar Vasilev
Tarun Gupta
Bei Peng
Shimon Whiteson
22
1
0
27 Apr 2021
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